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One Health, “Disease X”

Overview of attention for article published in Indian Journal of Medical Research, January 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 1,768)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
27 news outlets
blogs
1 blog
twitter
17 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
46 Mendeley
Title
One Health, “Disease X” & the challenge of “Unknown” Unknowns
Published in
Indian Journal of Medical Research, January 2021
DOI 10.4103/ijmr.ijmr_601_21
Pubmed ID
Authors

Pranab Chatterjee, Parvati Nair, Matthew Chersich, Yitagele Terefe, AbhimanyuSingh Chauhan, Fabiola Quesada, Greg Simpson

Abstract

The emergence of SARS-CoV-2 and its rapid spread globally emphasizes the ever-present threat of emerging and re-emerging infectious diseases. In this review, the pathogen pyramid framework was utilized to identify the "unknown unknowns" associated with the emergence and rapid transmission of novel infectious disease agents. Given that the evolutionary origin of most of the emerging infectious disease agents can be traced to an animal source, we argue the need to integrate the "One Health" approach as a part of surveillance activities. The need for focusing on undertaking global and regional mapping activities to identify novel pathogens is discussed, given that there are an estimated 1.67 million unknown viruses, of which around 631,000 to 827,000 unknown viruses have the capacity to infect human beings. The emerging risks due to the ever-expanding interface between human, animals, both domestic and wildlife, and the environment are highlighted, these are largely driven by the need for safe habitation, growing food, developing infrastructure to support the increasing human population and desire for economic growth. The One Health approach provides a holistic way to address these cross-sectoral issues, by bridging institutional gaps, enumerating priority risk areas and pathogens, and highlighting putative risk factors for subsequent spillover events involving emerging and re-emerging infectious disease pathogens at the human-animal-environment interface.

Twitter Demographics

The data shown below were collected from the profiles of 17 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 17%
Student > Postgraduate 4 9%
Student > Master 3 7%
Student > Ph. D. Student 3 7%
Student > Bachelor 2 4%
Other 9 20%
Unknown 17 37%
Readers by discipline Count As %
Medicine and Dentistry 8 17%
Biochemistry, Genetics and Molecular Biology 7 15%
Agricultural and Biological Sciences 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Nursing and Health Professions 1 2%
Other 5 11%
Unknown 19 41%

Attention Score in Context

This research output has an Altmetric Attention Score of 215. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 May 2023.
All research outputs
#161,663
of 23,861,318 outputs
Outputs from Indian Journal of Medical Research
#7
of 1,768 outputs
Outputs of similar age
#4,833
of 506,961 outputs
Outputs of similar age from Indian Journal of Medical Research
#1
of 97 outputs
Altmetric has tracked 23,861,318 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,768 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 506,961 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.